The goal of OpenMetadata is to serve as a centralised platform where users can gather and collaborate around data. This is possible thanks for different workflows that users can deploy and schedule, which will connect to the data sources to extract metadata.
Different metadata being ingested to OpenMetadata can be:
- Entities metadata, such as Tables, Dashboards, Topics...
- Query usage to rank the most used tables,
- Lineage between Entities,
- Data Profiles and Quality Tests.
In this section we will explore the different workflows, how they work and how to use them.
Metadata Ingestion Learn more about how to ingest metadata from dozens of connectors.
Metadata Profiler To get metrics from your Tables
Metadata Data Quality Tests To run automated Quality Tests on your Tables.
Metadata Usage To analyze popular entities.
Metadata Lineage To analyze relationships in your data platform.
One fundamental aspect of Metadata Ingestion is being able to analyze the evolution of your metadata. OpenMetadata support Metadata Versioning, maintaining the history of changes of all your assets.
Metadata Versioning Learn how OpenMetadata keeps track of your metadata evolution.
You want to know some of the best practices around metadata ingestion? This is the right place!
Best Practices Learn the best practices to ingest metadata, both from the UI and using any custom orchestrator.
Understand how OpenMetadata deploys the workflows that are created from the UI.
Ingestion Pipeline UI Deployment Learn about the Pipeline Service interface and how OpenMetadata handles workflow deployments.